MLBuf-RePlAce uses a recursive generative model to predict buffer placements during analytical global placement, reporting up to 56% better post-route total negative slack than OpenROAD's default in its open-source-flow benchmarks.
Buffered Steiner Trees for Difficult Instances
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.LG 1years
2025 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
Recursive Learning-Based Virtual Buffering for Analytical Global Placement
MLBuf-RePlAce uses a recursive generative model to predict buffer placements during analytical global placement, reporting up to 56% better post-route total negative slack than OpenROAD's default in its open-source-flow benchmarks.